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SUMMARY:BSU Seminar: "A Nonparanormal Approach to Marginal Inference" - Su
 sanne Dandl\, University of Zurich
DTSTART:20250325T140000Z
DTEND:20250325T150000Z
UID:TALK229567@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:Treatment effects for a novel therapy are typically measured b
 y comparing marginal outcome distributions across study arms. While proper
  randomisation in randomised trials allows their estimation from observed 
 outcome distributions\, covariate adjustment is recommended to increase pr
 ecision. However\, for noncollapsible measures like odds or hazard ratios 
 in logistic or proportional hazards models\, conditioning on covariates ch
 anges the effect interpretation\, and different covariate sets yield incom
 parable estimates.\n\nIn this talk\, I introduce a novel nonparanormal mod
 el formulation for adjusted marginal inference allowing the estimation of 
 the joint distribution of outcome and covariates. This approach offers not
  only the marginal treatment effect of interest for a wide range of outcom
 e types but also an overall coefficient of determination and covariate-spe
 cific measures of prognostic strength. I will show how this method enhance
 s precision of the marginal\, noncollapsible effect - both theoretically a
 nd through empirical results.
LOCATION:Online Seminar
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